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Vocabulary Terms for Statistics

Population: Collection of all counts that are of interest
Sample: A subset or part of a population
Qualitive Data: Consists of atributes, labels, or nonnumerical enteries
Cluster Sample: A sample where the population is divided into groups and
several groups are radomly selected and all from those selected groups are
sampled
Stratified Sample: A sample where the population is divided into groups
and several are randomly sampled from each group
Histogram: Vertical bar chart that shows frequency on the y-axis

Mean: The average
Mode: The most frequent number appearing in a dataset
Right Skewed Distribution: Where the frequency distribution has a “tail”
that extends to the right with most of the data on the left side of the
distribution
Left Skewed Distribution: Where the frequency distribution has a “tail”
that extends to the left with most of the data on the right side of the
distribution
Standard Deviation: The square root of the variance
Emperical Rule: Describes the percentage of data that falls with 1, 2, or 3
standard deviations of the mean in a symmetrical, bell shaped distribution
Standard Score: Shows how far a particular datapoint is from the mean in
terms of the number of standard deviations

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Statistics vocab terms

  • 1. Vocabulary Terms for Statistics Population: Collection of all counts that are of interest Sample: A subset or part of a population Qualitive Data: Consists of atributes, labels, or nonnumerical enteries Cluster Sample: A sample where the population is divided into groups and several groups are radomly selected and all from those selected groups are sampled Stratified Sample: A sample where the population is divided into groups and several are randomly sampled from each group Histogram: Vertical bar chart that shows frequency on the y-axis Mean: The average Mode: The most frequent number appearing in a dataset Right Skewed Distribution: Where the frequency distribution has a “tail” that extends to the right with most of the data on the left side of the distribution Left Skewed Distribution: Where the frequency distribution has a “tail” that extends to the left with most of the data on the right side of the distribution Standard Deviation: The square root of the variance Emperical Rule: Describes the percentage of data that falls with 1, 2, or 3 standard deviations of the mean in a symmetrical, bell shaped distribution Standard Score: Shows how far a particular datapoint is from the mean in terms of the number of standard deviations